Research Article
Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation
@INPROCEEDINGS{10.1007/978-3-642-12607-9_16, author={Myung-kyung Suh and Kyujoong Lee and Alfred Heu and Ani Nahapetian and Majid Sarrafzadeh}, title={Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation}, proceedings={Mobile Computing, Applications, and Services. First International ICST Conference, MobiCASE 2009, San Diego, CA, USA, October 26-29, 2009, Revised Selected Papers}, proceedings_a={MOBICASE}, year={2012}, month={10}, keywords={exercise guidance system interval training music recommendation social networks rehabilitation}, doi={10.1007/978-3-642-12607-9_16} }- Myung-kyung Suh
Kyujoong Lee
Alfred Heu
Ani Nahapetian
Majid Sarrafzadeh
Year: 2012
Bayesian Networks-Based Interval Training Guidance System for Cancer Rehabilitation
MOBICASE
Springer
DOI: 10.1007/978-3-642-12607-9_16
Abstract
The number of cancer patients who live more than 5 years after surgery exceeds 53.9% over the period of 1974 and 1990; Treatments for cancer patients are important during the recovery period, as physical pain and cancer fatigue affect cancer patients’ psychological and social functions. Researchers have shown that interval training improves the physical performance in terms of fatigue level, cardiovascular build-up, and hemoglobin concentration, the feelings of control, independence, self-esteem, and social relationship during cancer rehabilitation and chemotherapy periods. The lack of proper individual motivation levels and the difficulty in following given interval training protocols results in patients stopping interval training sessions before reaching proper exhaustion levels.
